distributed-tracing

Quick Review

Excellent distributed tracing skill with comprehensive coverage of Jaeger and Tempo implementations. The description clearly defines use cases (debugging microservices, analyzing request flows, implementing observability). Task knowledge is strong with concrete examples in Python, Node.js, and Go, plus deployment configs for both Kubernetes and Docker. Structure is logical with clear sections moving from concepts to implementation to analysis. Includes sampling strategies, context propagation, and troubleshooting. Novelty is good - while CLI tools can query Jaeger, properly instrumenting applications across multiple languages, configuring sampling strategies, and setting up production-grade tracing infrastructure requires specialized knowledge that would be token-intensive for a general agent. Minor improvement opportunity: could benefit from more explicit troubleshooting workflows or diagnostic scripts. Referenced files are appropriately noted and assumed present per instructions.